SINGLE CELL TRANSCRIPTOMICS11-12 June 2018. Homerton College, Cambridge.
From populations to single cell sensitivity
New powerful and sensitive technologies are revolutionising biological research. These include techniques that have the sensitivity to detect nucleic acids from single cells. Such precision at the single cell level allows the investigation of molecular mechanisms that used to be limited by measurements corresponding to averages over cell populations.
From plate-based protocol such as Smart-seq2 to single cell droplet-based systems like Drop-seq, recent technologies provide sensitive, powerful and scalable detection and measurements of mRNA. There are even techniques that can measure different types of nucleic acids simultaneously such as DNA and RNA with G&T-seq.
Bioinformatics data analysis 101
Analysing such sensitive and powerful data requires reliable bioinformatics tools that are not easy to learn for scientists who are new to them.
Bring your laptop for the bioinformatics training and course test
Our “Single Cell Transcriptomics” course is instructed by researchers from the University of Cambridge. In this course participants will get:
- Introduction: An introductory overview of single cell technologies
- Lab Demos: Learn how to run your own Drop-Seq from chip fabrication to microfluidics set-up and applications.
- Bioinformatics: Hands-on bioinformatics analysis training for beginners
- “Tips & Tricks”: Clinics sharing “tips & trick” from the experts and addressing project challenges and trouble shooting for each individual attendee
- Partners: Direct access to products and service providers helpful when getting started or scaling up single cell techniques in the lab
- Networking: Abundant networking time with the experts and other course attendees
- Formal Dinner: A full University of Cambridge Formal Dinning experience
- Test: A clear evaluation of progress over the two day course via digital course test
- Certificate: Certification supported by Homerton College and CamBioScience
Dr Wendi Bacon